MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13374
Single Precision Score
15450
Half Precision Score
14363
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | May 26 2025 01:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6412
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7111
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6220
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10817
175.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11938
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11339
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46082
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
46956
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46162
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
6052
480.1 IPS |
|
|
Object Detection (HP)
|
100% |
6675
529.4 IPS |
|
|
Object Detection (Q)
|
92% |
5749
458.9 IPS |
|
|
Face Detection (SP)
|
100% |
17653
209.8 IPS |
|
|
Face Detection (HP)
|
100% |
22533
267.7 IPS |
|
|
Face Detection (Q)
|
100% |
18198
216.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28408
218.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30045
231.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
27348
213.6 IPS |
|
|
Style Transfer (SP)
|
100% |
93456
120.1 IPS |
|
|
Style Transfer (HP)
|
100% |
104979
135.0 IPS |
|
|
Style Transfer (Q)
|
96% |
101357
130.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15125
558.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16161
596.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15017
554.5 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4631
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5074
87.7 IPS |
